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- Carrying out research on deep learning audio<\/span><\/span>
<\/span><\/li> - Evaluating and testing AI and ML models<\/span><\/span>
<\/span><\/li> - Implementing and training models<\/span><\/span>
<\/span><\/li> - Model research, implementation, training, evaluation and inference<\/span><\/span>
<\/span><\/li> - Writing reports and research papers<\/span><\/span>
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<\/span><\/div>With several products already on the market and thousands of users, this is a great time to join a company at the forefront of voice isolation and speech separation. <\/span>
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<\/span><\/div>Hybrid working pattern with 2 -3 days a week in their Central London R&D centre. <\/span>
<\/div><\/span>Requirements<\/h3>PhD or MSc in AI, Machine Learning, Computer Science, Maths or similar<\/span><\/span><\/li>Experience in speech separation or stem separation <\/span><\/span><\/li>Strong background in real -time audio machine learning research<\/span><\/span><\/li>Detailed knowledge of machine learning and deep learning concepts<\/span><\/span><\/span><\/span><\/li>Real -time audio signal processing / real -time machine learning <\/span><\/span><\/span><\/span><\/li>CNNs, RNNs, state space models<\/span><\/span><\/span><\/span><\/li>Python, PyTorch <\/span><\/span><\/span><\/span><\/li><\/ul><\/div><\/span>
Machine Learning Researcher - Audio employer: The Audio Programmer
The Audio Programmer is an exceptional employer, offering a dynamic and innovative work culture in High Wycombe that fosters creativity and collaboration. Employees benefit from hands-on experience throughout the product development life cycle, with ample opportunities for professional growth in the exciting field of music technology. The flexible on-site work arrangement allows for a balanced approach to project demands while being part of a passionate team dedicated to pushing the boundaries of audio electronics.
